{"id":"W4320716641","doi":"10.1055/a-2035-3008","title":"Defining and Scoping Participatory Health Informatics: An eDelphi Study","year":2023,"lang":"en","type":"article","venue":"Methods of Information in Medicine","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"European Commission; Universidad de Sevilla","keywords":"Health informatics; Scope (computer science); Delphi method; Health care; Multidisciplinary approach; Knowledge management; Field (mathematics); Delphi; Digital health; Health Administration Informatics; Medical education; Psychology; Public relations; Medicine; Computer science; Political science; Sociology; Artificial intelligence; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2196185,0.002182217,0.002520015,0.0106779,0.01351694,0.008714872,0.005526683,0.005807979,0.006012321],"category_scores_gemma":[0.1732077,0.002526545,0.001960486,0.008877751,0.01161499,0.009645515,0.02488523,0.004563096,0.001287049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01385212,"about_ca_system_score_gemma":0.04014074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004948688,"about_ca_topic_score_gemma":0.004552884,"domain_scores_codex":[0.7677048,0.1926364,0.01359971,0.006854027,0.009329249,0.009875947],"domain_scores_gemma":[0.7759434,0.1847157,0.005547855,0.005852671,0.02405241,0.003887911],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002741841,0.0003611597,0.004128483,0.006171115,0.00007223855,0.002296655,0.9054441,0.002072845,0.002696031,0.01010954,0.002656056,0.06371767],"study_design_scores_gemma":[0.0001215322,0.0004153942,0.002362074,0.006470046,0.00004270873,0.0005664429,0.948306,0.002812186,0.001362433,0.008204654,0.02923827,0.00009819586],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6939557,0.003837456,0.1283861,0.01088365,0.0004976502,0.1360453,0.0009166056,0.0002035886,0.02527397],"genre_scores_gemma":[0.7320751,0.005471882,0.1219942,0.003933961,0.0001079133,0.130789,0.0007411136,0.000122187,0.004764568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7803814,"threshold_uncertainty_score":0.9623493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.361225578420293,"score_gpt":0.6348377288777585,"score_spread":0.2736121504574655,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}